Lessons Learned During Research on Indicators of Forced Labor in the Production of Goods

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.V_2012_Indicators_Forced_Labor_Successes_Challenges_Reflections_Rpt.pdf: 427 downloads, before Oct. 1, 2020

Multiple sclerosis: changes in microarchitecture of white matter tracts after training with a video game balance board

Purpose: To determine if high-intensity, task-oriented, visual feedback training with a video game balance board (Nintendo Wii) induces significant changes in diffusion-tensor imaging (DTI) parameters of cerebellar connections and other supratentorial associative bundles and if these changes are related to clinical improvement in patients with multiple sclerosis.Conclusion: Despite the low statistical power (35%) due to the small sample size, the results showed that training with the balance board system modified the microstructure of superior cerebellar peduncles. The clinical improvement observed after training might be mediated by enhanced myelinationrelated processes, suggesting that high-intensity, taskoriented exercises could induce favorable microstructural changes in the brains of patients with multiple sclerosis.Materials and Methods: The protocol was approved by local ethical committee; each participant provided written informed consent. In this 24-week, randomized, two-period crossover pilot study, 27 patients underwent static posturography and brain magnetic resonance (MR) imaging at study entry, after the first 12-week period, and at study termination. Thirteen patients started a 12-week training program followed by a 12-week period without any intervention, while 14 patients received the intervention in reverse order. Fifteen healthy subjects also underwent MR imaging once and underwent static posturography. Virtual dissection of white matter tracts was performed with streamline tractography; values of DTI parameters were then obtained for each dissected tract. Repeated measures analyses of variance were performed to evaluate whether DTI parameters significantly changed after intervention, with false discovery rate correction for multiple hypothesis testing.Results: There were relevant differences between patients and healthy control subjects in postural sway and DTI parameters (P <.05). Significant main effects of time by group interaction for fractional anisotropy and radial diffusivity of the left and right superior cerebellar peduncles were found (F2,23 range, 5.555-3.450; P = .036-.088 after false discovery rate correction). These changes correlated with objective measures of balance improvement detected at static posturography (r = 20.381 to 0.401, P < .05). However, both clinical and DTI changes did not persist beyond 12 weeks after training

Modeling circadian and sleep-homeostatic effects on short-term interval timing

Short-term interval timing i.e., perception and action relating to durations in the seconds range, has been suggested to display time-of-day as well as wake dependent fluctuations due to circadian and sleep-homeostatic changes to the rate at which an underlying pacemaker emits pulses; pertinent human data being relatively sparse and lacking in consistency however, the phenomenon remains elusive and its mechanism poorly understood. To better characterize the putative circadian and sleep-homeostatic effects on interval timing and to assess the ability of a pacemaker-based mechanism to account for the data, we measured timing performance in eighteen young healthy male subjects across two epochs of sustained wakefulness of 38.67 h each, conducted prior to (under entrained conditions) and following (under free-running conditions) a 28 h sleep-wake schedule, using the methods of duration estimation and duration production on target intervals of 10 and 40 s. Our findings of opposing oscillatory time courses across both epochs of sustained wakefulness that combine with increasing and, respectively, decreasing, saturating exponential change for the tasks of estimation and production are consistent with the hypothesis that a pacemaker emitting pulses at a rate controlled by the circadian oscillator and increasing with time awake determines human short-term interval timing; the duration-specificity of this pattern is interpreted as reflecting challenges to maintaining stable attention to the task that progressively increase with stimulus magnitude and thereby moderate the effects of pacemaker-rate changes on overt behavior

Crossing the interdisciplinary divide : political science and biological science

This article argues that interdisciplinary collaboration can offer significant intellectual gains to political science in terms of methodological insights, questioning received assumptions and providing new perspectives on subject fields. Collaboration with natural scientists has been less common than collaboration with social scientists, but can be intellectually more rewarding. Interdisciplinary work with biological scientists can be especially valuable given the history of links between the two subjects and the similarity of some of the methodological challenges faced. The authors have been involved in two projects with biological scientists and this has led them critically to explore issues relating to the philosophy of science, in particular the similarities and differences between social and natural science, focusing on three issues: the problem of agency, the experimental research design and the individualistic fallacy. It is argued that interdisciplinary research can be fostered through shared understandings of what constitutes 'justified beliefs'. Political science can help natural scientists to understand a more sophisticated understanding of the policy process. Such research brings a number of practical challenges and the authors explain how they have sought to overcome them

Biomedical Informatics Applications for Precision Management of Neurodegenerative Diseases

Modern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing power, and broader integration of technology into healthcare. Highly detailed and individualized profiles of both health and disease states are now possible, including biomarkers, genomic profiles, cognitive and behavioral phenotypes, high-frequency assessments, and medical imaging. Although these data are incredibly complex, they can potentially be used to understand multi-determinant causal relationships, elucidate modifiable factors, and ultimately customize treatments based on individual parameters. Especially for neurodegenerative diseases, where an effective therapeutic agent has yet to be discovered, there remains a critical need for an interdisciplinary perspective on data and information management due to the number of unanswered questions. Biomedical informatics is a multidisciplinary field that falls at the intersection of information technology, computer and data science, engineering, and healthcare that will be instrumental for uncovering novel insights into neurodegenerative disease research, including both causal relationships and therapeutic targets and maximizing the utility of both clinical and research data. The present study aims to provide a brief overview of biomedical informatics and how clinical data applications such as clinical decision support tools can be developed to derive new knowledge from the wealth of available data to advance clinical care and scientific research of neurodegenerative diseases in the era of precision medicine

De-Roling from Experiences and Identities in Virtual Worlds

Within dramatherapy and psychodrama, the term ‘de-roling’ indicates a set of activities that assist the subjects of therapy in ‘disrobing’ themselves from their fictional characters. Starting from the psychological needs and the therapeutic goals that ‘de-roling’ techniques address in dramatherapy and psychodrama, this text provides a broader understanding of procedures and exercises that define and ease transitional experiences across cultural practices such as religious rituals and spatial design. After this introductory section, we propose a tentative answer as to why game studies and virtual world research largely ignored processes of ‘roling’ and ‘de-roling’ that separate the lived experience of role-play from our everyday sense of the self. The concluding sections argue that de-roling techniques are likely to become more relevant, both academically and in terms of their practical applications, with the growing diffusion of virtual technologies in social practices. The relationships we can establish with ourselves and with our surroundings in digital virtual worlds are, we argue, only partially comparable with similar occurrences in pre-digital practices of subjectification. We propose a perspective according to which the accessibility and immersive phenomenological richness of virtual reality technologies are likely to exacerbate the potentially dissociative effects of virtual reality applications. This text constitutes an initial step towards framing specific socio-technical concerns and starting a timely conversation that binds together dramatherapy, psychodrama, game studies, and the design of digital virtual worlds

A hierarchical Bayesian model for inference of copy number variants and their association to gene expression

A number of statistical models have been successfully developed for the analysis of high-throughput data from a single source, but few methods are available for integrating data from different sources. Here we focus on integrating gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. We specify a measurement error model that relates the gene expression levels to latent copy number states which, in turn, are related to the observed surrogate CGH measurements via a hidden Markov model. We employ selection priors that exploit the dependencies across adjacent copy number states and investigate MCMC stochastic search techniques for posterior inference. Our approach results in a unified modeling framework for simultaneously inferring copy number variants (CNV) and identifying their significant associations with mRNA transcripts abundance. We show performance on simulated data and illustrate an application to data from a genomic study on human cancer cell lines.Comment: Published in at http://dx.doi.org/10.1214/13-AOAS705 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org